Journal of Fashion Technology & Textile EngineeringISSN: 2329-9568

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Research Article, J Fashion Technol Textile Eng S Vol: 0 Issue: 2

Data Analysis and Statistical Interpolation of Signals for Human Footstep Tracking Using Intelligent Carpet

Tarun Kumar Agrawal1,2*, Sébastien Thomassey1,2, Cédric Cochrane1,2 and Vladan Koncar1,2
1GEMTEX / ENSAIT, Roubaix, France
2University of Lille - North of France / Villeneuve d'Ascq, France
Corresponding author : Tarun Kumar Agrawal
GEMTEX, ENSAIT, 2, allée Louise et Victor Champier, 59100, Roubaix–France
Tel: +33(0)320256464
Fax: +33(0)320248406
E-mail: [email protected]
Received: September 17, 2016 Accepted: November 08, 2016 Published: November 13, 2016
Citation: Agrawal TK, Thomassey S, Cochrane C, Koncar V (2016) Data Analysis and Statistical Interpolation of Signals for Human Footstep Tracking Using Intelligent Carpet. J Fashion Technol Textile Eng S2:007. doi: 10.4172/2329-9568.S2-007

Abstract

This article describes an intelligent carpet for human footstep detection and tracking. The carpet consists of textile based piezoresistive layer sandwiched between crossed conductive wires to make pressure sensor grids or pixels inside the carpet. Further, a preliminary noise filtering and signal extraction have been demonstrated by means of data analysis and statistical interpolation of signals (pressure based resistance change) obtained from the carpet.

Keywords: Tracking; Intelligent Carpet; Signal(pattern) recognition

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